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Automatic building reconstruction from LIDAR data has become a hot topic for several years. Many methods and algorithms have been put forward to reconstruct the building models, such as of flat roof, ...
Since the traditional building extraction from the common optical images is highly labor-intensive, time-consuming and very expensive. With the wide use of LIDAR System, it is possible to acquire buil...
Filtering Process of LIDAR Data     filtering  lidar  break-lines  clasification  tin  DHM  DSM       2015/11/23
This paper describes the processing method of the LiDAR data by using the feature characteristic derived from height and position information.For the analisis of Digital Height Model (DHM) resulted fr...
Three Dimensional City Model (3DCM) research becomes a hot area in GIS field in recent years. The 3DCM research also has great significance in traffic, land, mine, surveying and mapping, and other fie...
Automated techniques and tools for data acquisition of building are urgently needed because building information is extremely important for many applications such as urban planning, telecommunication,...
The improving capability of the direct geo-referencing technology is having a positive impact on the widespread adoption of LiDAR systems for the acquisition of dense and accurate surface models over ...
在分析现有的LiDAR点云数据后处理方法的基础上,本文提出了一种点云数据“分步”滤波方法。首先对LiDAR点云数据进行数学形态学“粗”滤波,得到“地面点假设”和“非地面点假设”。然后引入顾及因果关系的自回归模型(car)对两类点云数据假设进行模型化处理和假设检验,根据假设检验的结果判断地面点和非地面点,最终得到可靠的分类结果。与单纯的“最小二乘拟合预测法”或“数学形态学”方法相比,这种“分步”处理...

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